VISUALIZING WEB SERVER LOGS INSIGHTS WITH ELASTIC STACK– A CASE STUDY OF UMMAIL’S ACCESS LOGS

Sequence Mining on Web Access Logs: a Case Study

We present a case study in which sequence mining algorithms were applied to web access log data. The data are from a portal that is targeted for business users. In this portal, like in many others, content is described using a set of descriptors, such as keywords, category and type. We investigate whether representing content by the type rather than its identifier enables existing sequence mini...

Detecting anomalous Web server usage through mining access logs

Most operating systems services generate log files that can be used for debugging and supervision. One important function of log files is logging security related or debug information, for example logging unsuccessful authentication or error logging. This paper shows how to implement an anomaly detection process of web server’s unexpected events using the the Apache web server’s logs and applyi...

On Mining Web Access Logs

The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine typical user profiles from the vast amount of historical data stored in access logs. In the absence of any a priori knowledge, unsupervised classification or clustering methods seem to be ideally suited to analyze the ...

Software Issues in Characterizing Web Server Logs

Advanced Techniques for Analyzing Web Server Logs

This paper gives an account of the practical experiences made in generating special statistical information of web server logs. It emphasizes the problem of combining different data sources to retrieve acceptable working results. Several critical aspects in analyzing logfiles are discussed and solutions are described. The structural capacities of multilingual online authoring systems, especiall...